SOURCE-LINKED INTELLIGENCE

The genetic and epigenetic determinants of enhancer-promoter contacts in mammalian evolution

CORDIS · observation · Publication date unknown

r contacts co-evolve with genomic sequences, chromatin states, and gene expression, (2) establish how large-scale genomic rearrangements disrupt or constrain these contacts, and (3) develop and train deep learning models to predict DNA sequences underpinning the evolution of enhancer-promoter contacts. By integrating functional genomics, evolutionary biology, and machine learning, this project will uncover the mechanisms behind the evolution of long-range gene regulation, with broad implications for understanding non-coding genetic variation in evolution, disease, and synthetic biology. The fellowship will enhance my expertise in comparative genomics, 3D chromatin biology, and deep learning, while fostering new collaborations and bringing evolutionary insights to the host lab. 3D chromatin architecture, enhancer-promoter contacts, promoter capture Hi-C, gene regulation, machine learning, deep learning, evolutionary biology, comparative genomics

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recordType

award

status

SIGNED

region

EU

value

260347.92

unit

EUR